Futureproof dispatch, controlling, analysis and passenger information systems for your city. Real solutions with simplicity. - realCity
. It does so by changing Prefab parameters during the game start-up, so no changes to game systems are required. In the long term this can serve as a foundation fortuning and balancing any parameter. I encourage to contribute to the mod by raising issues and/or PRs on GitHub with ...
We also want to reach a point where you can buy stuff like in the real world and enjoy the money you're getting, like buying cars, proprieties for own usage, furniture for your houses and much more.. It all depends of how good accepted the first versions are going to be. 展开阅读 ...
SUMO [64] specializes in simulating multi-modal transportation networks, accounting for the complex interactions between various road users, including cars, pedestrians, and public transport. In a bidirectional coupling approach, CARLA provides SUMO with real-time information about the positions, ...
More specifically, we can query SUMO for the positions and velocities of all the cars in the simulation. This information is also available for the decision-making module in a real car, being provided by the sensing module. To collect the dataset we built a 3D-interface on top of the ...
It may be argued whenever human life is at risk—(i) interpretability, (ii) uncertainty quantification, and (iii) prospective testing are essential—whether the context is medicine or self-driving cars [26, 27]. Our social media bot and methods are the first in computational pathology to ...
1, 1Project page: https://github.com/mahmoudnafifi/HistoGAN our generated images share the same color distribution as the target images without being restricted to, or influenced by, the semantic content of the target images. Recoloring Real Images In additio...
In this paper, we propose a lightweight multi-branch network structure to solve the problem of 3D LiDAR point-cloud moving object segmentation, which can run in real time on GPU. Figure 1 shows an example scene of our segmentation, red boxes are moving cars, the yellow box is a parked ...
This dataset belongs to large-scale traffic monitoring system datasets, where all the images of 100 challenging video clips are captured by low-position ordinary surveillance cameras in real scenes. The dataset includes cars, buses, trucks, and vehicles of four other categories, with a total of ...
a webcam, knowledge of algorithms, and elbow grease. As a research topic, Visual SLAM is much friendlier to thousands of early-stage PhD students who’ll first need years of in-lab experience with SLAM before even starting to think about expensive robotic platforms such as self-driving cars....